One-sample location tests for multilevel data

DOI10.1016/j.jspi.2007.10.006zbMath1182.62102OpenAlexW2066183693WikidataQ57583477 ScholiaQ57583477MaRDI QIDQ1031759

Jaakko Nevalainen, Hannu Oja, Denis Larocque

Publication date: 30 October 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2007.10.006

zbMATH Keywords

asymptotic efficiencyclustered datasign testhierarchical dataWilcoxon signed-rank testmultilevel data

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Parametric hypothesis testing (62F03)

Related Items

A weighted multivariate signed-rank test for cluster-correlated data, Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data

Uses Software

• Ox

Cites Work

• An enhanced sign test for dependent binary data with small numbers of clusters
• A weighted spatial median for clustered data
• Incorporation of Clustering Effects for the Wilcoxon Rank Sum Test: A Large‐Sample Approach
• Asymptotic Statistics
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• Statistical Modeling and Analysis for Complex Data Problems
• On the multivariate spatial median for clustered data
• A weighted multivariate sign test for cluster-correlated data
• The Wilcoxon Signed Rank Test for Paired Comparisons of Clustered Data
• Rank-Sum Tests for Clustered Data
• Longitudinal Data Analysis
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